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On-line tuning of a neural PID controller based on plant hybrid modeling.

, , and . Comput. Chem. Eng., 28 (8): 1499-1509 (2004)

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Optimal monitoring and risk limits for a wastewater biological treatment serial plant., , , and . ECC, page 3845-3851. IEEE, (2001)Neural networks for model predictive control., and . IJCNN, page 111-118. IEEE, (2011)Dynamic Optimisation of Industrial Sugar Crystallization Process based on a Hybrid (mechanistic+ANN) Model., , and . IJCNN, page 2728-2735. IEEE, (2006)A Neural Network Based Approach for Measurement Dynamics Compensation., and . Applied Artificial Intelligence, 16 (6): 423-442 (2002)Process modeling strategy combining analytical and data based techniques - I. NN identification of reaction rates with known kinetics coefficients., , , and . IJCNN, page 1530-1535. IEEE, (2007)Error Tolerant Predictive Control Based on Recurrent Neural Models., and . Innovations in Intelligent Machines (5), volume 561 of Studies in Computational Intelligence, Springer, (2014)On-line tuning of a neural PID controller based on plant hybrid modeling., , and . Comput. Chem. Eng., 28 (8): 1499-1509 (2004)Error tolerant MPC versus PI control - a crystallization case study., , and . ECC, page 2899-2904. IEEE, (2009)Computationally efficient process control with neural networkbased predictive models., , and . IJCNN, page 2990-2997. IEEE Computer Society, (2009)